Handling Big Data in Modern Healthcare

Lab Med. 2016 Nov;47(4):e38-e41. doi: 10.1093/labmed/lmw038.

Abstract

The constant growth of medical knowledge and the increases in specialization in clinical practice have created a significant need to share and access patient information with speed and efficiency. However, current technology is centered on processing data, rather than gathering information. To realize the potential of modern technology in improving patient health, merely collecting and storing data are insufficient: one must convert these data into information and knowledge. In this article, I present an overview of 2 recent advances in technology and their assimilation into the practice of medicine, in the attempt to make clinical data meaningful and then to learn from aggregated clinical data. We address the emergence of clinical data warehouses (CDWs) and health information exchanges (HIEs), as features of the Health Information Technology for Economic and Clinical Health (HITECH) Act. This act, enacted in the United States as part of the American Recovery and Reinvestment Act of 2009, was signed into law on February 17, 2009, to promote the adoption and meaningful use of health information technology.

MeSH terms

  • Data Collection / methods*
  • Data Interpretation, Statistical*
  • Humans
  • Medical Informatics / methods*
  • United States